Universiti Teknologi Malaysia Institutional Repository

Investigation of capabilities of electromagnetic tomography for pipeline imaging

Mukaiyin, Nur Fharahin and Mohamad, Elmy Johana and Mansor, Zulkifli and Mohmad Ameran, Hanis Liyana and Abdul Rahim, Ruzairi and Pusppanathan, Jaysuman and Nasir, Nur Nadia and Zakaria, Zulkarnay and Zainal Abidin, Ilham Mukriz and Mohd. Faizan Mawrah, Omar and Zulkiflli, Nur Amira (2019) Investigation of capabilities of electromagnetic tomography for pipeline imaging. Jurnal Teknologi, 81 (5). pp. 149-154. ISSN 2180-3722


Official URL: https://dx.doi.org/10.11113/jt.v81.13197


In industrial process, pipeline leakage often only noticeable pipe condition is critical henceforth causing damages to its internal content. Therefore, pipeline inspection and monitoring work is highly demanding to take early precautions. Electromagnetic Tomography (EMT) is capable to produce images of the internal structure of an object by using external sensors without disrupting it. The coil sensors are placed around the object where the source coil transmits an oscillating magnetic field while the rest acts as receiver and measure the received signals. The measured signal provides the magnetic field distribution of the pipe, and will differ according to the materials’ passive electrical properties. In this paper, we investigate the capability of using EMT to identify metallic pipe openings by conducting a finite element analysis simulation study. The design and parameters of the EMT system, as well as the results of using the EMT model to detect various degree of metallic pipe openings is presented. The results confirm that the EMT imaging as a promising tool for inspection of metallic pipelines where the magnetic field of the investigated region differs according to the pipe opening and material of the pipeline.

Item Type:Article
Uncontrolled Keywords:Electromagnetic tomography, region of interest, conductive materia
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:84771
Deposited By: Fazli Masari
Deposited On:27 Feb 2020 04:59
Last Modified:27 Feb 2020 04:59

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